作者: Ozhan Gecgel , Stephen Ekwaro-Osire , João Paulo Dias , Abraham Nispel , Fisseha M. Alemayehu
DOI: 10.1007/978-3-319-99268-6_13
关键词: Pinion 、 Fault (power engineering) 、 Fracture (geology) 、 Machine learning 、 Computer science 、 Feature extraction 、 Decision tree learning 、 Artificial intelligence 、 Vibration 、 Power (physics) 、 Condition monitoring
摘要: … However, the analysis of vibration signals collected from physical experimental systems or from the … The use of virtual dynamic models of faulty gear systems to simulate system vibration …